Learning What and Where to Transfer

15 May 20193 code implementations

To address the issue, we propose a novel transfer learning approach based on meta-learning that can automatically learn what knowledge to transfer from the source network to where in the target network.

META-LEARNING TRANSFER LEARNING

Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline

ECCV 2018 1 code implementation

Most current license plate (LP) detection and recognition approaches are evaluated on a small and usually unrepresentative dataset since there are no publicly available large diverse datasets.

OBJECT DETECTION

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning

1 Jul 20191 code implementation

We perform a thorough ablation study to evaluate our approach on a suite of challenging maze tasks, demonstrating significant advantages from the proposed framework over baselines that lack world graph knowledge in terms of performance and efficiency.

HIERARCHICAL REINFORCEMENT LEARNING

Meta-Optimizing Semantic Evolutionary Search

Association for Computing Machinery (ACM) 2017 1 code implementation

I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution.

PROBLEM DECOMPOSITION

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone

29 Jan 20182 code implementations

This dataset is composed of 9, 053 road damage images captured with a smartphone installed on a car, with 15, 435 instances of road surface damage included in these road images.

OBJECT DETECTION ROAD DAMAGE DETECTION

A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI

2 Apr 20163 code implementations

To our knowledge, this is the first application of a fully convolutional neural network architecture for pixel-wise labeling in cardiac magnetic resonance imaging.

CARDIAC SEGMENTATION

Annotation as a New Paradigm in Research Archiving

7 Oct 20141 code implementation

The second one (DTHB) is a multi-year effort to express the linguistic features of the Hebrew bible in a text database, which is still growing in detail and sophistication.

Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base

NeurIPS 2018 1 code implementation

We present an approach to map utterances in conversation to logical forms, which will be executed on a large-scale knowledge base.

QUESTION ANSWERING SEMANTIC PARSING

A data-driven approach to predict the success of bank telemarketing

Decision Support Systems 2014 1 code implementation

Such knowledge extraction confirmed the obtained model as credible and valuable for telemarketing campaign managers.

FEATURE SELECTION REGRESSION